Founding Product Manager

Hyperscale•San Francisco, CA

About The Position

Hyperscale is building the AI-native intelligence layer for physical operations, starting with trucking carriers. We are a team of ex-Samsara engineers and fleet operators automating the highest-volume back-office workflows (driver support, load coordination, scheduling) with agentic AI. Our product is deployed with some of the largest fleets in the US, autonomously handling ~70% of inbound calls with strong customer satisfaction. We are small, moving fast, and backed by top investors. We are looking for a Founding Product Manager to own product discovery, roadmap, and customer implementation for Hyperscale. You will be part of the pod we send to customer sites: sitting alongside the Sales Engineer and Account Executive, running discovery sessions, converting customer insights into product direction, and managing ongoing implementation relationships through go-live and beyond. This is not a spec-writing role at a large company. The person who thrives here is low-ego, high-agency, and genuinely excited to be in the room with customers figuring things out in real time. You will report directly to the CTO and be one of the most important hires we make this year.

Requirements

3 to 6 years of product management experience, ideally including time at an early-stage company
Founding PM mentality: you write specs AND take customer calls AND figure out what nobody told you to do
Highly comfortable talking to customers, including non-technical operators and executives
Strong product intuition: you can walk out of a customer conversation with a clear point of view on what to build
Technical enough to work credibly with engineers and understand integration complexity
Low ego and high adaptability: you do not need a defined process to be effective
Willing and excited to travel on-site to customer locations

Nice To Haves

Background in logistics, trucking, fleet management, or supply chain software (Samsara, Motive, Flexport, or similar)
Familiarity with TMS platforms (McLeod, TMW, Omnitracs), ELD systems, or dispatch software
Prior experience with AI/ML products, e specially conversational AI or agent-based systems
Experience in professional services, implementation, or customer success engineering

Responsibilities

Travel on-site with the customer pod to conduct workflow discovery with dispatchers, drivers, and operations teams
Mine customer conversations for product insights and unmet needs
Convert field learnings into a clear, prioritized roadmap that engineering can build against
Advocate for the roadmap internally and make the case for what to build next and why
Write product specs that give engineers exactly what they need without over-engineering the process
Run ongoing meetings with customers to update them on implementation progress and product developments
Iterate directly with customers on specific features: scope, validate, and refine in real time
Manage the customer relationship from post-sale through go-live and expansion
Identify gaps between what customers need and what the product currently does, and close them quickly
Work closely with the Sales Engineer and Account Executive as part of a coordinated customer pod
Partner with engineering to scope builds, set timelines, and unblock delivery
Bring the voice of the customer into every product and engineering discussion
Help define the go-to-market motion as we scale from a handful of marquee customers to a repeatable sales process